Challenge No. 72: Generate the first 18 terms of Fibonacci sequence as result table.
Solved using:Excel, Power Query, Python, R, and VBA.
Advanced Mathematics Problem
Solving complex mathematical problems using advanced techniques.
Coin Change Problem!
Challenge No. 70: Consider a set of coin denominations as: {1$, 2$, 5$, 10$}.
Solved using:Excel (FILTER, LAMBDA, LET), Power Query (List.Transform, Table.FromRows), Python, R, and VBA.
Oeis Sequence
Challenge No. 53: The On-Line Encyclopedia of Integer Sequences presents several number sequences based on specific rules.
Solved using:Excel (FILTER, LAMBDA, LEFT), Power Query (List.Transform), Python, and R.
Assignment Problem (Part 2)!
Challenge No. 50: In the continuation of the previous challenge, we reach the question table as the normalized table, in the rest of the algorithm the below step should be done.
Solved using:Excel (AND, BYCOL, BYROW), Power Query (List.Transform, Table.Column), Python, and R.
Assignment Problem (Part 1)!
Challenge No. 49: Assignment Problem is a well-known problem for assigning tasks to different people by the minimum cost and we want to solve it with The Hungarian method within two challenges.
Solved using:Excel (BYCOL, BYROW, HSTACK), Power Query (List.Skip, List.Transform, Table.Column), Python, and R.
Pareto Line
Challenge No. 36: In Multi-Objective Models, Instead Of A Single Solution, We Encounter A Pareto Front That Includes All Non-Dominant Solutions, And In This Quesion We Want To Extracth All Non Dominant Solutions.
Solved using:Excel (BYROW, FILTER, LAMBDA), Power Query (List.Transform, Table.SelectRows), Python, and R.
Cluster Values!
Challenge No. 28: In the question table, the ID of rows from the main table (not shown in this example) that are nearly identical are provided in the same cell.
Solved using:Excel (DROP, FILTER, HSTACK), Power Query (List.Transform), Python, and R.
Sudoku In Excel
Challenge No. 19: Solve the left side Sudoku table and replace X by a number based on the below rule:
Use the numbers 1 through 6 instead of X.
Solved using:Excel, Power Query, and VBA.
Data Normalization
Challenge No. 12: In every decision-making process, the first step is to normalize the data.
Solved using:Excel (BYCOL, LAMBDA), Google Sheets, Power Query (List.Transform, Table.FromColumns, Table.ToColumns), R, and VBA.
K-Means Clustering Algorithm!
Challenge No. 6: The k-means clustering algorithm is a popular method used in data science and machine learning for partitioning a dataset into k distinct, non-overlapping subsets (clusters) with the below steps.
Solved using:Excel, and Power Query.